GOALI/Collaborative Research: A Control Oriented Charge Mixing and Hybrid Combustion Model for SI-HCCI Dual Mode Engines

GOALI/协作研究：SI-HCCI 双模发动机的面向控制的充气混合和混合燃烧模型

• 批准号: 1030360
• 负责人: Guoming Zhu
• 金额: $ 24.46万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2014-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1030360&HistoricalAwards=false
• 关键词: GOALI; Collaborative; Research; Control; Oriented

The research objective of this Grant Opportunity for Academic Liaison with Industry (GOALI) Collaborative Research project is to develop accurate yet tractable dynamic models for SI (Spark Ignited) and HCCI (Homogeneous Charge Compression Ignition) dual mode engines to enable model-based real-time control and optimization of this novel and efficient internal combustion engine. Specifically, we propose a novel SI-HCCI hybrid combustion model that incorporates both SI and HCCI combustions and a new charge mixing model to capture the fluid dynamics and chemical composition of the engine. These two models will be integrated with a feedback structure, that is, the output of the charge mixing model is the input to the hybrid combustion model and the output of the combustion model is fed back to the charge mixing model. The research will enable the real-time model-based control and optimization of SI-HCCI dual mode engines, which is critical for future clean and efficient automotive propulsion systems. This engine technology will significantly reduce the national oil consumption of both personal and commercial transportations. It will also reduce harmful emissions and mitigate the impact on climate change. This project's approach for developing and validating the hybrid SI-HCCI model can be applied to other type of engines and dynamic systems, where the phenomenological or computational models are not suitable.

该研究项目的研究目标是为SI（火花点火）和HCCI（均质充量压燃）双模式发动机开发精确而易于处理的动态模型，以实现基于模型的实时控制和优化这种新型高效内燃机。具体来说，我们提出了一种新的SI-HCCI混合燃烧模型，它结合了SI和HCCI燃烧和一个新的电荷混合模型，以捕捉发动机的流体动力学和化学成分。这两个模型将与反馈结构相结合，即混合模型的输出是混合燃烧模型的输入，燃烧模型的输出被反馈到混合模型。该研究将实现SI-HCCI双模式发动机的实时基于模型的控制和优化，这对未来清洁高效的汽车推进系统至关重要。这种发动机技术将大大减少个人和商业运输的国家石油消耗。它还将减少有害排放，减轻对气候变化的影响。该项目开发和验证混合SI-HCCI模型的方法可以应用于其他类型的发动机和动态系统，其中现象学或计算模型是不合适的。